DevOps Engineer – Kubernetes & Production Operations
Core
Support production environments hosting machine learning and data science applications by managing Kubernetes-based infrastructure across Windows and Linux on-premises systems.
Role type
Senior DevOps Engineer (Kubernetes & Production Operations)
Builds
Reliable, scalable, and secure on-premises infrastructure for ML/data science workloads
Domain
IT Services / DevOps / Kubernetes / On-premises Infrastructure
Deliverable
infrastructure
Required skills
Kubernetes, Docker, Windows/Linux administration, CI/CD pipelines, monitoring (DataDog), troubleshooting distributed systems, automation scripting
Preferred skills
Python scripting, ML model deployment support, OT/IT data bridging (Ignition), time-series databases (InfluxDB, Prometheus, AWS Timestream)
Technologies
Kubernetes, Docker, DataDog, AWS, Ignition, InfluxDB, Prometheus, AWS Timestream
Responsibilities
Maintain and support ML applications on Windows/Linux servers; Manage and troubleshoot Kubernetes clusters; Implement monitoring and alerting solutions; Automate operational tasks; Debug production issues; Document system architecture and processes
Seniority
Senior, hands-on IC